Correlation Between Latin Metals and Lithium Australia
Can any of the company-specific risk be diversified away by investing in both Latin Metals and Lithium Australia at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Latin Metals and Lithium Australia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Latin Metals and Lithium Australia NL, you can compare the effects of market volatilities on Latin Metals and Lithium Australia and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Latin Metals with a short position of Lithium Australia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Latin Metals and Lithium Australia.
Diversification Opportunities for Latin Metals and Lithium Australia
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Latin and Lithium is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Latin Metals and Lithium Australia NL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lithium Australia and Latin Metals is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Latin Metals are associated (or correlated) with Lithium Australia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lithium Australia has no effect on the direction of Latin Metals i.e., Latin Metals and Lithium Australia go up and down completely randomly.
Pair Corralation between Latin Metals and Lithium Australia
Assuming the 90 days horizon Latin Metals is expected to generate 0.7 times more return on investment than Lithium Australia. However, Latin Metals is 1.43 times less risky than Lithium Australia. It trades about 0.04 of its potential returns per unit of risk. Lithium Australia NL is currently generating about 0.02 per unit of risk. If you would invest 6.76 in Latin Metals on December 1, 2024 and sell it today you would earn a total of 0.04 from holding Latin Metals or generate 0.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Latin Metals vs. Lithium Australia NL
Performance |
Timeline |
Latin Metals |
Lithium Australia |
Latin Metals and Lithium Australia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Latin Metals and Lithium Australia
The main advantage of trading using opposite Latin Metals and Lithium Australia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Latin Metals position performs unexpectedly, Lithium Australia can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lithium Australia will offset losses from the drop in Lithium Australia's long position.Latin Metals vs. IGO Limited | Latin Metals vs. Qubec Nickel Corp | Latin Metals vs. Atco Mining | Latin Metals vs. IGO Limited |
Lithium Australia vs. Grid Metals Corp | Lithium Australia vs. Latin Metals | Lithium Australia vs. First American Silver | Lithium Australia vs. IGO Limited |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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